The Impact of Artificial Intelligence in Gene Therapy
Year: 2024
Type: article
Abstract: Artificial intelligence (AI) is revolutionizing the field of gene therapy by enabling more precise, efficient, and personalized treatments. AI tools, particularly machine learning (ML) and deep learning (DL) algorithms, are being leveraged to analyze large genomic datasets, identify potential gene targets, and predict the outcomes of genetic modifications. These AI-driven approaches can optimize gene editing techniques like CRISPR-Cas9 by predicting off-target effects and improving editing accuracy. Moreover, AI enhances the design of gene delivery systems, aiding in the development of safer and more effective vectors for gene transfer. In the realm of personalized medicine, AI is crucial in identifying patient-specific genetic variations that can influence treatment outcomes, enabling tailored therapies. Additionally, AI models are being used to monitor and assess long-term effects of gene therapy, allowing for adaptive strategies and real-time adjustments in clinical trials. Despite challenges, such as data quality and algorithm transparency, the integration of AI into gene therapy holds promise for accelerating the development of groundbreaking treatments for genetic disorders, offering new hope for precision medicine. As AI continues to evolve, its role in gene therapy will likely become increasingly integral to transforming medical practice.
Author: Vemula Greeshma¹, Dr. C. Bhuvaneswar Rao², Dr. Venu Gopal³
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6930658681
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